@Adityapandeydev @BillGates knows better

The framework: Technical template = 5% of the work Finding the right problem = 95% AI solved the development speed. What will frustrate us: learning to monetize, do marketing, turn project → business. Full story: https://t.co/BVG6RTwT36👇

If you're starting your SaaS: Look for a PAINKILLER, not a nice-to-have. Ask: → Is someone SUFFERING with this problem RIGHT NOW? → Not "would be cool to have" → But "desperately needs a solution" Validate with a real user before writing code.

Why Factura Zen was 10x faster: Not the technical template (that's 5%). It was: → Problem validated from day 1 → Real user testing while developing → Immediate feedback loop Template helps you go fast. Right problem helps you build something people need.

The mental shift: Before: "How do I code this?" After: "Does this solve a REAL problem?" Code = 5% Product + user + validation = 95% With SportsSync: I built what I thought was useful With Factura Zen: I built what I KNOW is useful (real user asking while I build)

What's commoditised today: ✅ Code (AI generates it) ✅ Technical setup (5 min to replicate) ✅ Development speed What's NOT commoditised: ❌ Finding the RIGHT problem (painkiller vs nice-to-have) ❌ Going from project → business ❌ Polished UI/UX

Sandra (my wife) spent 3 DAYS per client: → Taking invoices (photos/PDFs/Word) → Transferring them manually to Excel → Calculating totals With Claude Desktop + refined prompt: → 20 minutes She asked: "Can this work for more clients?" That's when I saw it was a

SportsSync (first SaaS) = nice-to-have → Syncs sports data → Cool, but nobody dies without it FacturaZen (second SaaS) = painkiller → Eliminates 3 days of manual work per client → Companies hire staff just for this process That's the entire difference.

First SaaS: 6 months Second SaaS: 3 weeks Everyone thinks it was the code. No. Code is commoditised. AI does that. The real difference? Nice-to-have vs Painkiller 🧵

For seniors: Your advantage isn't writing code anymore. It's knowing what to ask. Having mental architecture. Validating fast. Deciding tradeoffs. Leverage that. Let AI do the rest. Comment: How many years in tech? 0, 5, 20? Full video:

Or try this: Find apps with huge user bases (Jira, Monday). Check their marketplace for feature requests. Build that solution. Upload to their marketplace. Demand is validated. Users already exist. You just execute.

If you're 16-23 and proactive: Go to any traditional business near you (law firm, property management, government contractor). Spend a week observing their processes. You'll find tons of inefficiencies to automate. Every "export" button = potential business.

With AI: Senior: Ships in weeks, fewer iterations Junior: Ships in months, more iterations But both CAN ship. Before AI: Junior needed a team. Now: Junior can build alone. The technical barrier to entry is broken.

You don't need to be a senior. You need: 1. Minimum technical base (understand APIs, databases, frontend/backend at concept level) 2. Product mindset (what problem am I solving? For whom?) 3. Validation ability (does this make sense? Does it work?)

A junior on my team told me his work feels boring now. Why? He used to enjoy the craftsmanship of writing code. Pride in implementation. Now AI handles much of that. What made us valuable—implementation, our expertise—has been commoditized.

I don't know PHP anymore. I'm out of touch with the language. But I'm applying Computer Science at a much higher level, outside implementation details. My advantage as a senior: I know WHAT to ask. Not "How do I code this?" But "What's the tradeoff?"

My prompt: "Explain what this PR is trying to do." Claude identified: - Removing feature flag from successful experiment - Excessive logging with stray characters - Unused variables - DB query that could be avoided in some cases This was impossible 2 years ago.

Real example: Had to review a PR in PHP7. Legacy app I'd never touched. Problem: Haven't touched PHP in 15 years (since WordPress). Don't know current syntax. Team has zero PHP knowledge. What I did: Downloaded repo, analyzed the diff with Claude.

People assume: My 20 years of code = why I launched 2 SaaS. But that's not it. What really matters: - Experience in PRODUCT - Time in industry understanding how software development works - Seeing process failures - Understanding users

I'm David, Team Lead managing teams. The question everyone asks: "How did you do it? Is it because of your IT experience? Can a junior do it? Can someone without a technical career do it?" Honest answer: Yes, but not how you think.

I've been coding for 20 years. Built 2 SaaS in 6 months with AI. But here's the truth: my coding experience isn't why I succeeded. What matters isn't programming experience. It's product experience. Let me explain 🧵